neural net discrimination
HMM Speech Recognition with Neural Net Discrimination
Two approaches were explored which integrate neural net classifiers with Hidden Markov Model (HMM) speech recognizers. Both at(cid:173) tempt to improve speech pattern discrimination while retaining the temporal processing advantages of HMMs. One approach used neu(cid:173) ral nets to provide second-stage discrimination following an HMM recognizer. On a small vocabulary task, Radial Basis Function (RBF) and back-propagation neural nets reduced the error rate substantially (from 7.9% to 4.2% for the RBF classifier). In a larger vocabulary task, neural net classifiers did not reduce the error rate.